E. Fabianova

17 total papers · 795 total citations
2 papers, 310 citations indexed

About

E. Fabianova is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, E. Fabianova has authored 2 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Oncology and 1 paper in Epidemiology. Recurrent topics in E. Fabianova's work include Multiple and Secondary Primary Cancers (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Global Cancer Incidence and Screening (1 paper). E. Fabianova is often cited by papers focused on Multiple and Secondary Primary Cancers (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Global Cancer Incidence and Screening (1 paper). E. Fabianova collaborates with scholars based in France, Hungary and Poland. E. Fabianova's co-authors include Paolo Boffetta, Ariana Znaor, Stefano Bonassi, Lisbeth E. Knudsen, Marcello Ceppi, Radim J. Šrám, Hannu Norppa, A. Cebulska-Wasilewska, Roel Vermeulen and Juozas Rimantas Lazutka and has published in prestigious journals such as American Journal of Epidemiology and Carcinogenesis.

In The Last Decade

E. Fabianova

2 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
E. Fabianova 162 112 71 64 48 2 310
W. Burrill 193 1.2× 202 1.8× 137 1.9× 45 0.7× 11 0.2× 4 309
Leonard H. Kolb 95 0.6× 47 0.4× 15 0.2× 110 1.7× 78 1.6× 8 338
Julie M. Schwaninger 48 0.3× 80 0.7× 88 1.2× 83 1.3× 38 0.8× 6 250
Robert Olin 85 0.5× 33 0.3× 11 0.2× 26 0.4× 47 1.0× 5 342
Z. Herceg 74 0.5× 232 2.1× 5 0.1× 13 0.2× 48 1.0× 3 321
Hak-Jae Kim 35 0.2× 111 1.0× 24 0.3× 44 0.7× 17 0.4× 8 315
A. Wojcik 143 0.9× 142 1.3× 116 1.6× 89 1.4× 6 0.1× 7 357
Rebecca Suk 54 0.3× 152 1.4× 7 0.1× 52 0.8× 27 0.6× 6 319
R.-S. Koskela 40 0.2× 19 0.2× 40 0.6× 209 3.3× 136 2.8× 6 364
Jon Player 84 0.5× 167 1.5× 20 0.3× 13 0.2× 14 0.3× 4 254

Countries citing papers authored by E. Fabianova

Since Specialization
Citations

This map shows the geographic impact of E. Fabianova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Fabianova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Fabianova more than expected).

Fields of papers citing papers by E. Fabianova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Fabianova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Fabianova. The network helps show where E. Fabianova may publish in the future.

Co-authorship network of co-authors of E. Fabianova

This figure shows the co-authorship network connecting the top 25 collaborators of E. Fabianova. A scholar is included among the top collaborators of E. Fabianova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Fabianova. E. Fabianova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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